The impact of digital inequities on gastrointestinal cancer disparities in the United States

Author:

Fei‐Zhang David J.1,Moazzam Zorays2,Ejaz Aslam2ORCID,Cloyd Jordan2,Dillhoff Mary2,Beane Joal2,Bentrem David J.1,Pawlik Timothy M.2ORCID

Affiliation:

1. Department of Surgery Northwestern University Feinberg School of Medicine Chicago Illinois USA

2. Department of Surgery, Division of Surgical Oncology The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center Columbus Ohio USA

Abstract

AbstractBackgroundModern‐day internet access and technology usage substantially impacts aspects of surgical care but remain ill‐defined for their associations with gastrointestinal‐cancer (GIC) outcomes. We sought to develop the Digital Inequity Index (DII), a novel, a self‐adapted tool to quantify access to digital resources, to assess the impact of “digital inequity” on GIC care and prognosis.MethodsAdult (20+) patients with gastrointestinal malignancies between 2013 and 2017 were identified from the Surveillance, Epidemiology, and End Results Program database. DII was calculated based on 17 census‐tract level variables derived from the American Community Survey and Federal Communications Commission. Variables were categorized as infrastructure‐access (i.e., electronic device ownership, broadband type, internet provider availability, income‐broadband subscription ratio) or sociodemographic (i.e., education, income, disability status), ranked relative across all US counties, and then averaged into a composite score. The association between DII and surgery receipt, staging, surveillance period, and survival time were assessed with multiple logistic and linear regressions.ResultsAmong 287 228 patients, increasing DII was associated with increased odds of late‐stage disease (highest odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.05–1.10 for hepatic) and decreased odds of receiving surgery (lowest OR: 0.94, 95% CI: 0.93–0.96 for hepatic). Higher DII was associated with shorter postoperative surveillance length (largest decrease −20.4% for hepatic) and overall survival length (largest decrease −16.0% for pancreatic). Sociodemographic and infrastructure‐access factors contributed equivalently to surveillance time disparities, while infrastructure‐access factors contributed more to survival disparities across GIC types.ConclusionsAs technology dependence has increased, inequities in digital access should be targeted as a contributor to surgical oncologic disparities.

Publisher

Wiley

Subject

Oncology,General Medicine,Surgery

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